Autolanding Mission Planning of the IT Convergence Hoverable UAV

IT 융합 회전익 무인항공기의 자동 착륙 임무수행

  • Jung, Sunghun (Department of Drone System, Chodang University) ;
  • Kim, Hyunsu (Department of Flight Operation, Chodang University)
  • 정성훈 (초당대학교 드론학과) ;
  • 김현수 (초당대학교 항공운항학과)
  • Published : 2017.06.28


Researchers are now faced with a limited flight time of the hoverable UAV due to the sluggish technological advances of the Li-Po energy density and try to find a bypassing solution for the fully autonomous hoverable UAV mission planning. Although there are several candidate solutions, automated wireless charging is the most likely and realistic candidate and we are focusing on the autolanding strategy of the hoverable UAV in this paper since it is the main technology of it. We developed a hoverable UAV flight simulator including Li-Po battery pack simulator using MATLAB/Simulink and UAV flight and battery states are analyzed. The maximum motor power measured as 1,647 W occurs during the takeoff and cell voltage decreases down to 3.39 V during the procedure. It proves that the two Li-Po battery packs having 22 Ah and connected in series forming 12S1P are appropriate for the autolanding mission planning.


Autolanding;Battery State Estimation;Hoverable UAV;Image Processing;SOC


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